Optimization and Simulation of Solid State Manufacturing Processes

A special issue of Journal of Manufacturing and Materials Processing (ISSN 2504-4494).

Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 13490

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, University of the Basque Country, Bilbao, Spain
Interests: optimization and simulation of manufacturing processes; sustainable manufacturing processes; application of nanotechnologies to manufacturing processes; process/microstructure/in-service behavior relationships
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Guest Editor
Université de Bordeaux, CNRS, I2M Bordeaux, 351 cours de la Libération, Talence, France
Interests: optimization and simulation of manufacturing processes; sustainable manufacturing processes; process/microstructure/in-service behavior relationships

Special Issue Information

Dear Colleagues,

The ever-increasing emphasis on sustainable growth has affected mechanical engineering tremendously. Nowadays, components and products must be efficient, durable, and lightweight. Manufacturing is often only seen as a step in creating a product as efficiently as possible without “too many negative effects” on the component. This is usually the driving factor of design for manufacture. Innovative solutions to reduce costs and weight without compromising performance require mastery of the entire manufacturing process. Each manufacturing part is the result of the cumulative effect of the various processes encountered along the entire manufacturing chain. The usual process simulation method has to evolve to innovative multiscale (from microscopic to macroscopic scales), multiphysical (strong thermomechanical and microstructural couplings), and multilevel advanced simulation. This advance will lead to the development of new tools that are better-suited to production (reduced premature wear, increased service life, improved tools, etc.) and will reduce production time and thereby production costs. The importance of modeling and simulation will be increased with the progressive introduction of Industry 4.0 concepts. They will disrupt the way we use modeling and simulation, increasing its use and value ,since product design and development will take place in simulated laboratories and utilize digital fabrication models. In the same way that physical product evolves to the Internet of the Things, its digital model will need to evolve to an Internet of the Simulations (IoS), in which heterogeneous simulations of the diverse physical and cyber subsystems of the smart product can interoperate without restrictions. For that, process simulation is a key point of this concept.

Manufacturers must optimize their production processes to meet the high demand for new products of greater value in terms of accessibility, quality, productivity, and profitability. The presence of complex phenomena related to fields such as continuum mechanics, thermomechanics, metallurgy, and chemistry complicates attempts to control these processes. These phenomena are even more complex in high strain, strain rates, and temperature gradients. The scientific barriers to overcome concern the constitutive laws of engineered materials, the tribology of the processes, the development of fast and accurate numerical simulation methods, and experimental validation through local strain and temperature field measurements.

In this Special Issue of JMMP, current research findings are going to be reported which focus on individual or subsequent simulation of manufacturing processes or steps throughout the manufacturing sequence. The range of considered processes covers solid-state processes focusing on metals. Papers will be considered that show significant improvements with clear regard to innovative aspects achieved by the below mentioned processes and process combinations.

We are interested in contributions that focus on topics such as:

  • Characterization techniques for the determination of constitutive laws of metallic alloys for manufacturing process simulation, for the determination of local strain, strain rate and thermal fields measurements, for modeling the tribology of the processes, etc.
  • Different approaches for process simulation: FEM, DEM, high performance computing (HPC), molecular dynamics, in 2D, 3D, etc.
  • Process simulation applications and validation for solid-state metal transformation: cutting, friction stir welding, forging, stamping, magnetic pulse forming and welding, etc. in terms of chip geometry, deformation and temperature fields, residual stresses, loads, etc.

Prof. Dr. Frank Girot Mata
Prof. Dr. Olivier Cahuc
Guest Editors

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Keywords

  • Manufacturing Processes
  • Machining, forming, friction stir welding, magnetic pulse forming and welding, etc.
  • Metals
  • Behavior law
  • 3D simulation of manufacturing processes

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Published Papers (3 papers)

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Research

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20 pages, 5736 KiB  
Article
3D Thermal Simulation of a Laser Drilling Process with Meshfree Methods
by Mohamadreza Afrasiabi and Konrad Wegener
J. Manuf. Mater. Process. 2020, 4(2), 58; https://doi.org/10.3390/jmmp4020058 - 22 Jun 2020
Cited by 19 | Viewed by 5258
Abstract
Numerical simulation of laser drilling is rapidly gaining interest in academia and industry since this process remains one of the most important and widely-used technologies in modern manufacturing. Meshfree methods such as Smoothed Particle Hydrodynamics (SPH) have proven to be successful as a [...] Read more.
Numerical simulation of laser drilling is rapidly gaining interest in academia and industry since this process remains one of the most important and widely-used technologies in modern manufacturing. Meshfree methods such as Smoothed Particle Hydrodynamics (SPH) have proven to be successful as a numerical tool for the computation of the heat transfer and material removal associated with a laser drilling problem. Nonetheless, the vast majority of recent developments incorporate an inconsistent SPH kernel into their thermal simulations. In this paper, several enhanced schemes are implemented to address this problem by solving the heat transfer more accurately. These meshfree schemes can provide a second-order accurate discretization of the Laplace operator and abolish the inconsistency issue of the standard SPH kernels. An efficient approach is additionally suggested to handle the associated boundary conditions, which relies on the idea of the color function and particle label. The implementation is initially validated by a 3D benchmark study and then applied for the first time to a laser drilling problem. Full article
(This article belongs to the Special Issue Optimization and Simulation of Solid State Manufacturing Processes)
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Review

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23 pages, 3622 KiB  
Review
Kinematic Fields Measurement during Orthogonal Cutting Using Digital Images Correlation: A Review
by Haythem Zouabi, Madalina Calamaz, Vincent Wagner, Olivier Cahuc and Gilles Dessein
J. Manuf. Mater. Process. 2021, 5(1), 7; https://doi.org/10.3390/jmmp5010007 - 9 Jan 2021
Cited by 11 | Viewed by 3168
Abstract
Understanding the mechanism of chip formation during orthogonal cutting requires a local measurement of the displacement and strain fields in the cutting zone. These measurements can then be used in order to enhance/validate numerical simulation of metal cutting or calibrate material behavior laws [...] Read more.
Understanding the mechanism of chip formation during orthogonal cutting requires a local measurement of the displacement and strain fields in the cutting zone. These measurements can then be used in order to enhance/validate numerical simulation of metal cutting or calibrate material behavior laws for a better prediction of the thermomechanical loads inside the cutting zone. Particle tracking to identify the strain localization that is exhibited in the Adiabatic Shear Band (ASB) is a challenging task. These local measurements can be determined by images post-processing while using the Digital Image Correlation (DIC) technique or analytical models using streamline models or by micro grid analysis. Recently, the use of the DIC technique is widely increased. Texture quality has been shown to be an important factor. Various techniques of surface preparation are then discussed and classified in terms of the created pattern size. Tools for texture analysis are presented. The technique suitability for the kinematic fields measurement while using the DIC technique during machining is discussed. Various optical systems of the literature employed in the context of kinematic fields measurement during machining are discussed in this paper. The recent advances on the design of optical systems are given. Finally, the results of kinematic fields measurement during machining metallic alloys are analyzed. Full article
(This article belongs to the Special Issue Optimization and Simulation of Solid State Manufacturing Processes)
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29 pages, 11405 KiB  
Review
A Review on Strain Gradient Plasticity Approaches in Simulation of Manufacturing Processes
by Raffaele Russo, Franck Andrés Girot Mata, Samuel Forest and Dimitri Jacquin
J. Manuf. Mater. Process. 2020, 4(3), 87; https://doi.org/10.3390/jmmp4030087 - 3 Sep 2020
Cited by 22 | Viewed by 4235
Abstract
Predicting the performances of a manufactured part is extremely important, especially for industries in which there is almost no room for uncertainties, such as aeronautical or automotive. Simulations performed by means of numerical methods such as Finite Element Methods represent a powerful instrument [...] Read more.
Predicting the performances of a manufactured part is extremely important, especially for industries in which there is almost no room for uncertainties, such as aeronautical or automotive. Simulations performed by means of numerical methods such as Finite Element Methods represent a powerful instrument in achieving high level of predictability. However, some particular combinations of manufactured materials and manufacturing processes might lead to unfavorable conditions in which the classical mathematical models used to predict the behavior of the continuum are not anymore able to deliver predictions that are in good agreement with experimental evidence. Since the first evidences of the shortcomings of the classical model were highlighted, many non-classical continuum mechanics theories have been developed, and most of them introduce dependencies at different levels with the Plastic Strain Gradient. This manuscript aims at gathering the milestone contributions among the Strain Gradient Plasticity Theories developed so far, with the object of exploring the way they interface with the requirements posed by the challenges in simulating manufacturing operations. Finally, the most relevant examples of the applications of Strain Gradient Plasticity Theories for manufacturing simulations have been reported from literature. Full article
(This article belongs to the Special Issue Optimization and Simulation of Solid State Manufacturing Processes)
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